Principal Architect – AI

This is a fully remote position, open to applicants in Florida.

📋 Description

• Take charge of the enterprise vision for Generative AI and Agentic AI architecture, along with a multi-year strategic roadmap.

• Lead or co-chair executive architecture and AI governance meetings.

• Oversee the strategy for the enterprise intelligence layer, which includes reference architectures, standards, reusable patterns, and platform capabilities.

• Define and manage the enterprise strategy for agentic AI and its platform blueprint.

• Create frameworks for multi-agent orchestration, reasoning, tool utilization, memory, human-in-the-loop controls, observability, fail-safes, and model/agent lifecycle management.

• Establish enterprise standards for Generative AI and agentic solutions across AWS and Azure.

• Oversee the enterprise strategy for Retrieval-Augmented Generation and associated frameworks.

• Set standards for knowledge governance, content provenance, permissions, lineage, data quality, and approved knowledge sources.

• Define integration patterns to connect AI solutions with both legacy systems and modern cloud services.

• Collaborate with Enterprise Architecture, Infrastructure, and Platform teams on identity, networking, monitoring, disaster recovery, and service management.

• Develop shared enterprise data architectures, ontologies, governance models, and operational practices with data, analytics, and platform teams.

• Set standards for AI-ready data products, metadata, semantic layers, and thresholds for data quality.

• Act as the executive technical authority for security, risk, legal, compliance, and audit stakeholders.

• Establish governance practices for models, including evaluation, red teaming, bias mitigation, explainability, and controls.

• Lead the AI architecture portfolio, prioritizing capabilities and investment opportunities.

• Define success metrics and monitor value realization.

• Collaborate with Technology and Business leadership to transition AI initiatives into operational settings.

• Cultivate and develop enterprise AI architecture talent, mentor senior architects, and foster communities of practice.

• Influence decisions related to platforms/tools, vendor strategy, and ecosystem partnerships.

• Represent the organization as a senior AI architecture leader in executive discussions and transformation efforts.

• Perform additional responsibilities as needed.

• Travel as necessary.

⛳️ Requirements

• A Master’s degree in AI, Machine Learning, Computer Science, Engineering, or a quantitative field from an accredited institution is preferred.

• At least ten (10+) years of relevant, progressive experience in enterprise architecture, platform architecture, or large-scale solution architecture.

• A minimum of seven (7+) years leading the delivery and/or architecture of enterprise-scale Generative AI, Retrieval-Augmented Generation, and Agentic AI capabilities in complex corporate environments.

• A combination of education and experience that is equivalent will be accepted.

• Executive-level expertise with AWS AgentCore and Azure AI Agent Service.

• Profound knowledge of agentic frameworks like LangGraph and CrewAI.

• Experience in establishing enterprise AI governance, fostering cross-line-of-business adoption, and operationalizing AI solutions within security, risk, and compliance frameworks.

• Ability to facilitate alignment and decision-making with executive stakeholders across Technology, Security, Risk, Legal/Compliance, and Lines of Business.

• Expert capability to connect Data Science, AI Engineering, and Enterprise Architecture.

• Advanced proficiency in Python, SQL, and PySpark.

• Extensive expertise in vector stores, including Pinecone, OpenSearch, and Azure AI Search.

• Knowledge of LLM platforms and AI/ML lifecycle management.

• Proven leadership experience in AWS and Azure enterprise environments.

• Strong functional familiarity with Palantir Foundry/AIP.

• Demonstrated success in roles within a Transformation Office or enterprise innovation function.

• Ability to convert architectural decisions into measurable outcomes, cost efficiency, operational resilience, and risk mitigation.

• Capability to thrive in a team-oriented environment.

• Ability to meet or surpass established Performance Competencies.

🏝️ Benefits

• Work-life balance.

• Reasonable accommodations when applicable and appropriate.

• Equal Opportunity Employer.

• Drug-Free Workplace.